Computer Crime Data Mining Based on FP-array
Xianli Li · Dianzi Ke-ji Daxue xuebao · 2009
Since the electronic evidence is difficult to collect in the computer crime in morden society, a new high-performance algorithm for mining association rules based on the construction of the FP-array is proposed according to the discuss of the maximal frequent patterns (FP-Max) algorithm based on FP-tree. Five kinds of common data of computer-related crime are mined successfully by using the new algorithm. The mining results can provide important reference in actual detection process.